Triple
T9447382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminator: Dark Fate |
E227797
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Don Granger |
E388357
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Don Granger | Statement: [Terminator: Dark Fate, producer, Don Granger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Granger Context triple: [Terminator: Dark Fate, producer, Don Granger]
-
A.
Don Granger
chosen
Don Granger is an American film producer known for his work on major studio action and science fiction movies, including projects like "The Tomorrow War."
-
B.
Arthur Grant
Arthur Grant was a British cinematographer best known for his work on numerous Hammer Films productions in the mid-20th century.
-
C.
Grant Grant
Grant Grant is a fictional character best known as the parasitically infected antagonist in the horror-comedy film "Slither."
-
D.
John Grandy
John Grandy was a senior Royal Air Force officer who rose to become a leading commander of British fighter forces during and after the Second World War.
-
E.
Sam Giddings
Sam Giddings is a central playable protagonist in the horror video game Until Dawn, known for her resourcefulness, moral compass, and strong chances of survival depending on player choices.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f35394c8190aa77528dabd6139c |
completed | April 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1106aeb708190bbbe1d05b7472194 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:51 p.m.